6,643 Lead Data Scientist jobs in India

We are looking for an experienced and visionary Lead Data Scientist to spearhead our predictive analytics initiatives. This hybrid role allows for a blend of in-office collaboration and remote flexibility. You will lead a team of talented data scientists, guiding them in developing and deploying advanced machine learning models that drive business decisions and optimize operations. Your expertise will be crucial in identifying new opportunities for data-driven innovation, from forecasting market trends to personalizing customer experiences. You will be responsible for the entire lifecycle of data science projects, including data acquisition, cleaning, feature engineering, model development, validation, and deployment. This involves working closely with stakeholders across various departments to understand their challenges and translate them into analytical solutions. The ideal candidate possesses strong leadership qualities, exceptional technical skills, and a proven ability to communicate complex findings to both technical and non-technical audiences.

Key Responsibilities:

• Lead and mentor a team of data scientists, fostering a collaborative and high-performance environment.
• Develop and implement sophisticated predictive models using machine learning and statistical techniques.
• Identify key business challenges and translate them into data science problems.
• Oversee data exploration, feature engineering, model training, and evaluation processes.
• Collaborate with engineering teams to deploy models into production environments.
• Communicate insights and recommendations to senior management and stakeholders.
• Stay current with advancements in data science, machine learning, and AI.
• Define and track key performance indicators for data science projects.
• Ensure the ethical and responsible use of data and AI technologies.

Required Qualifications:

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of experience in data science, with a focus on predictive modeling and machine learning.
• Demonstrated experience leading data science projects and teams.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in various machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Strong understanding of SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Excellent analytical, problem-solving, and communication skills.
• Experience with data visualization tools.

This position is based in Ahmedabad, Gujarat, IN , offering a hybrid work model that balances office presence with remote flexibility.

Our client is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives, focusing on developing sophisticated predictive models and data-driven insights. This pivotal role involves leading a team of data scientists, defining project roadmaps, and translating complex business challenges into actionable data science solutions. You will work with large, diverse datasets to uncover trends, predict future outcomes, and drive strategic decision-making across the organization. This is a fully remote position, allowing you to leverage your expertise from anywhere.

Responsibilities:

• Lead the design, development, and deployment of machine learning models and predictive analytics solutions.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative research environment.
• Collaborate with stakeholders across various departments to understand business needs and identify opportunities for data science applications.
• Clean, transform, and engineer features from large, complex datasets.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and validate statistical models and machine learning algorithms (e.g., regression, classification, clustering, time series forecasting, deep learning).
• Evaluate model performance using appropriate metrics and techniques, iterating to improve accuracy and efficiency.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through reports and presentations.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data science best practices and standards within the organization.
• Manage project timelines and deliverables, ensuring successful execution of data science initiatives.
• Contribute to the architecture and design of data pipelines and analytical infrastructure.

Qualifications:

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7-10 years of experience in data science, with at least 3 years in a leadership or team lead capacity.
• Proven experience in developing and deploying machine learning models in a production environment.
• Expertise in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R.
• Strong knowledge of SQL and experience working with various database technologies.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Outstanding communication, presentation, and interpersonal skills.
• Ability to manage multiple projects simultaneously and work effectively in a remote, fast-paced environment.
• Experience in the insurance industry or with related risk modeling and customer analytics is highly desirable.

This is an exceptional opportunity to shape the future of analytics at our company, making significant data-driven contributions to our business strategies. We are excited about this role based in Thiruvananthapuram, Kerala, IN .

Our client is seeking an exceptional Lead Data Scientist to build and lead a remote-first team focused on advanced predictive analytics. This role is critical for leveraging vast datasets to uncover insights, build sophisticated predictive models, and drive data-informed decision-making across the organization. You will be responsible for defining the data science strategy, mentoring junior scientists, and collaborating with engineering and business units to implement scalable solutions. This is an exciting opportunity to shape the future of analytics and contribute to strategic initiatives from your home office.

Responsibilities:

• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics, forecasting, and pattern recognition.
• Lead the design, development, and deployment of end-to-end data science solutions, from data extraction and cleaning to model training and validation.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative environment.
• Identify new opportunities for leveraging data to drive business value and inform strategic decisions.
• Collaborate with engineering teams to ensure the scalability and efficiency of data pipelines and model deployment.
• Communicate complex analytical findings and insights clearly and concisely to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Define and track key performance indicators (KPIs) for data science projects and model performance.
• Ensure data quality, integrity, and security throughout the data science lifecycle.
• Contribute to the development of the company's data strategy and roadmap.
• Evaluate and implement new tools and technologies to enhance data science capabilities.
• Design and execute A/B tests and other experimental designs to validate hypotheses and measure impact.

Qualifications:

• Ph.D. or Master's degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a strong focus on predictive modeling and machine learning.
• Proven experience in leading and mentoring data science teams.
• Expertise in programming languages such as Python or R, and proficiency in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Deep understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
• Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Strong analytical and problem-solving skills with the ability to translate business problems into data science solutions.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience working in a remote or distributed team environment.

This fully remote role offers the exciting prospect of impacting critical business decisions through cutting-edge data science. Join our client's innovative team and help unlock the power of data. While the role is remote, the ideal candidate has a connection to or understanding of the market around **Patna, Bihar, IN**.

Our client is seeking an experienced and innovative Lead Data Scientist to spearhead our predictive analytics initiatives. This role is based in our modern office in **Kanpur, Uttar Pradesh, IN**, with a flexible hybrid work arrangement, allowing for a balance between in-office collaboration and remote flexibility. You will play a pivotal role in developing sophisticated statistical models and machine learning algorithms to uncover insights, forecast trends, and drive data-informed decision-making across the organization. This position offers a unique opportunity to work with complex datasets, leverage state-of-the-art technologies, and mentor a talented team of data professionals.

As the Lead Data Scientist, you will be responsible for the entire lifecycle of data science projects, from problem definition and data acquisition to model development, validation, and deployment. You will collaborate closely with business stakeholders to understand their challenges and translate them into actionable data science solutions. This includes designing experiments, performing exploratory data analysis, building robust predictive models (e.g., regression, classification, time series forecasting), and evaluating their performance. You will also be expected to stay at the forefront of data science advancements, continuously exploring new methodologies and tools to enhance our analytical capabilities.

Key responsibilities include leading the design and implementation of machine learning pipelines, ensuring the quality and integrity of data used for analysis, and communicating complex findings to both technical and non-technical audiences. You will guide the team in best practices for data science, including model interpretability, ethical considerations, and reproducible research. This role requires a blend of strong technical acumen, strategic thinking, and leadership skills to foster a culture of data-driven innovation.

We are looking for a candidate with a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. Proficiency in programming languages like Python or R, along with experience using libraries such as Scikit-learn, Pandas, and NumPy, is crucial. Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases is also essential. Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services would be a significant advantage.

Responsibilities:

• Lead the development and deployment of predictive models and machine learning solutions.
• Collaborate with business units to identify opportunities for data science application.
• Perform complex data analysis, feature engineering, and model selection.
• Mentor and guide junior data scientists, fostering technical growth and best practices.
• Communicate insights and recommendations to stakeholders through compelling visualizations and presentations.
• Ensure the scalability, robustness, and interpretability of developed models.
• Contribute to the strategic direction of data science and analytics within the company.
• Stay updated with the latest trends and technologies in data science and artificial intelligence.

Qualifications:

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 6+ years of progressive experience in data science and advanced analytics.
• Proven experience in leading data science projects and teams.
• Expertise in statistical modeling, machine learning algorithms, and data mining.
• Strong programming skills in Python or R, and proficiency with relevant libraries.
• Experience with SQL and big data technologies.
• Excellent analytical, problem-solving, and communication skills.
• Experience with cloud-based data science platforms is a plus.

This is a challenging and rewarding role for a data science leader looking to make a significant impact in a dynamic industry.

Our client, a globally recognized recruitment consultancy, is looking for a highly accomplished Lead Data Scientist to spearhead their advanced analytics initiatives. This is a fully remote position, offering the flexibility to work from anywhere while driving impactful data-driven strategies. You will be instrumental in building and mentoring a team of data scientists, developing sophisticated predictive models, and translating complex data into actionable business insights for a diverse clientele. The ideal candidate possesses extensive experience in machine learning, statistical modeling, and a strong ability to communicate technical findings to both technical and non-technical audiences.

Responsibilities:

• Lead the design, development, and deployment of predictive models and machine learning solutions to address complex business challenges.
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate with stakeholders across various industries to understand business requirements and translate them into data science problems.
• Develop and implement robust data analysis frameworks, ensuring data integrity and validity.
• Perform in-depth exploratory data analysis to identify trends, patterns, and anomalies.
• Select appropriate statistical techniques and machine learning algorithms for predictive modeling, classification, regression, and clustering.
• Build, train, and evaluate machine learning models, optimizing for performance and accuracy.
• Develop and maintain scalable data pipelines and infrastructure for model deployment and monitoring.
• Communicate complex analytical findings and recommendations clearly and concisely to business leaders through compelling visualizations and presentations.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Identify opportunities for leveraging new data sources and advanced analytical techniques.
• Ensure the ethical and responsible use of data and AI technologies.
• Contribute to the strategic vision for data science within the organization.
• Manage project timelines, resources, and deliverables effectively.
• Troubleshoot and resolve issues related to data, models, and deployment pipelines.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 7+ years of experience in data science or a related analytical role, with a proven track record of leading projects and teams.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and model evaluation techniques.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
• Strong SQL skills and experience with database management.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent understanding of data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Demonstrated ability to work independently and collaboratively in a remote environment.
• Experience in managing cloud-based data science platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform) is desirable.
• Strong leadership and team management capabilities.

This is a significant opportunity to shape the future of data-driven decision-making for our clients from your home.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
**Primary Responsibilities:**
+ Drive client value by:
+ Creating innovative solutions driven by exploratory data analysis from diverse datasets
+ Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
+ Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
+ Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
+ Leading efforts for applied use of machine learning to drive process optimization and transformation
+ Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
+ Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
+ Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
+ Communicate the performance of the machine learning algorithms across an interdisciplinary team
+ Create impact at scale by:
+ Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
+ Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
+ Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
+ Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
+ Ensuring complex analytics adhere to statistical best practices
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 8+ years of combined experience in data science, data enrichment, and advanced modeling
+ 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
+ 8+ years of experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
+ 5+ years of experience managing complex data projects and programs
+ 5+ years of experience creating healthcare analytics
+ Hands on experience in Microsoft Azure, Databricks, Mlflow and model deployment frameworks
+ Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
+ linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs
+ Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
+ Proven excellent communication and presentation skills
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#NIC #NJP

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Data scientists analyze and interpret complex data to help organizations make informed decisions
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ AI Scientist
+ Master's or Relavant in Computer Science, Machine Learning, or related field
+ 8+ years of experience in AIML engineering and research
+ Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
+ Hands-on experience with MLOps, model deployment, and monitoring
+ Proven expertise in LLMs, generative AI, and deep learning
+ Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
+ Familiarity with AIML governance, ethics, and responsible AI practices
+ Key Skills:
+ Proficiency AutoML: Automated Machine Learning (AutoML) tools like H2O.ai, Google Cloud AutoML, and DataRobot
+ Solid statistical and mathematical knowledge
+ Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as
+ Python, R, and SQL
+ Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil
+ Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM's GRU's is a plus.
+ Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
+ Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono
+ Exposure or experience using collaboration tools such as: Confluence (Documentation)
+ Synthetic Data Generation: Tools like Gretel.ai and Synthea are used to generate synthetic data, which can be useful for training models when real data is scarce or sensitive
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#Nic

**About the Role:**
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India

**About the Role:**
**Grade Level (for internal use):**
11
**Position Summary**
The candidate will work along with other data scientists and data engineers to support activities related to development and maintenance of products that generate key insights on industry trend by applying various machine learning and statistical techniques on proprietary as well as open data sources. The person will work alongside Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The candidate should have 10+ years work experience in developing products/services using Data Science and Analytics.
**Duties and responsibilities**
+ Work as part of analytics team based in Bangalore/Hyderabad/Gurgaon to develop and maintain new products
+ Work as an Individual Contributor and should be able to manage a team as well
+ Participate in complex analytical projects and apply data engineering techniques to support new
or existing data products
+ Support the team or management by producing quick-turnaround analysis, model development,
and quality assurance for product development, consulting projects, and client presentations
+ Gather knowledge about the Maritime industry and its interrelationship with various economic
and policy decision
+ Work closely with the research team and product management team to take their inputs and develop a product
+ Mentor junior team members on various algorithms, tools and techniques in the world of data science
**Business competencies**
Essential
+ 10+ years of industrial/research experience in a Data Science/Engineering Team
+ 2-3 years of experience in working in time series forecasting
+ 2+ years of experience in working with cloud technologies AWS/Dataricks
+ 1+ years of experience in implementing LLMs for analytics products/services
+ 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB etc.)
+ Experience in creating docker containers
+ Experience working on end-to-end analytics project from requirements analysis till deployment of project
+ Ability to perform complex data analysis and statistical modelling in R/Python and/or Spark
+ Knowledge of RDBMS concepts and experience working with SQL
+ Understanding of data visualization principles and experience with data visualization tools such as Tableau
+ Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics,
Engineering, Data Science)
+ In-depth knowledge of forecasting concepts such as S/ARIMA/X and good knowledge on implementing forecasting packages in R and Python
+ Excellent knowledge of Statistics, Machine Learning algorithms, Deep Neural Networks and Data Mining
Beneficial
+ Experience working with geo-spatial data and/or unstructured data at scale
+ Experience in other statistical programming languages like SPSS, Eviews etc.
+ Experience in working in Maritime Industry
**Personal competencies**
+ Good logical thinking and problem-solving skills
+ Good communication skills and ability to confidently present technical solutions to stakeholders
+ Great teamwork and ability to connect with people and build strong professional relationship
**About S&P Global Commodity Insights**
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.
We're a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights' coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.
S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
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**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India